Results 41 to 50 of about 6,953 (298)

Handwriting-Based Text Line Segmentation from Malayalam Documents

Applied Sciences, 2023
Optical character recognition systems for Malayalam handwritten documents have become an open research area. A major hindrance in this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document
Pearlsy P V, Deepa Sankar
doaj   +1 more source

Handwritten Text Recognition from Crowdsourced Annotations

Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023
Accepted to the 7th International Workshop on Historical Document Imaging and Processing (HIP 23)
Solène Tarride, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant   +4 more
openaire   +2 more sources

Offline Handwritten Text Recognition and Signature Verification [PDF]

, 2021
Offline Handwritten Text Recognition (HTR) is one of the most interesting challenges in today's date in the field of Image processing. This paper introduces a novel technique to recognize the handwritten text by using Convolutional Recurrent Neural Network along with Connectionist Temporal Classification.
Rehaan Sajjad Arai, Skanda Shanubog, Rithik Jain, Pushkar Kumar, Krupashankari S   +4 more
openaire   +1 more source

Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Over the last few years, several researchers have worked on handwritten character recognition and have proposed various techniques to improve the performance of Indic and non-Indic scripts recognition.
Manoj Kumar Mahto, Karamjit Bhatia, Rajendra Kumar Sharma   +2 more
doaj   +1 more source

Handwritten Text Recognition: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Text Recognition (HTR) has become an essential field within pattern recognition and machine learning, with applications spanning historical document preservation to modern data entry and accessibility solutions. The complexity of HTR lies in the high variability of handwriting, which makes it challenging to develop robust recognition ...
Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza   +2 more
openaire   +3 more sources

Component-based Segmentation of words from handwritten Arabic text

, 2008
Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented.
Jawad H AlKhateeb, Jinchang Ren, AlKhateeb, J. H., Jiang, J., Stan S Ipson, Ipson, S., Ren, Jinchang, Jianmin Jiang   +7 more
core   +1 more source

Exploration of advancements in handwritten document recognition techniques

Intelligent Systems with Applications
Handwritten document recognition and classification are among the many computers related issues being studied for digitizing handwritten data. A handwritten document comprises text, diagrams, mathematical expressions, numerals, and tables.
Vanita Agrawal, Jayant Jagtap, M.V.V. Prasad Kantipudi   +2 more
doaj   +1 more source

Handwritten Text Recognition and Digital Text Conversion [PDF]

International Journal of Trend in Scientific Research and Development, 2019
Sometimes it is extremely difficult to secure handwritten documents in the real world. While doing so, we may encounter many problems such as misplacing the documents, unavailability of access from anywhere, physical damage, etc. So, to keep the information secure, we convert that information into digital format to address all the above mentioned ...
Mr. B. Ravinder Reddy, J. Nandini, P. Sowmya | Y. Sathwik   +2 more
openaire   +1 more source

ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset [PDF]

, 2016
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Toselli, Alejandro Héctor, Romero Gómez, Verónica, Joan Andreu Sanchez, Sánchez Peiró, Joan Andreu, Enrique Vidal, Vidal, Enrique, Veronica Romero, Alejandro H. Toselli   +7 more
core   +1 more source

Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Word extraction is one of the most critical steps in handwritten recognition systems. It is challenging for many reasons, such as the variability of handwritten writing styles, touching and overlapping characters, skewness problems, diacritics ...
takwa Ben Aicha, Afef Kacem Echi
doaj   +1 more source